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International Applied Mechanics
Article . 2002 . Peer-reviewed
License: Springer Nature TDM
Data sources: Crossref
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The Method of R-Functions in the Solution of Elastic Problems on the Basis of Reissner's Mixed Variational Principle

The method of \(R\)-functions in the solution of elastic problems on the basis of Reissner's mixed variational principle
Authors: Morachkovskii, O. K.; Romashov, Yu. V.; Salo, V. A.;

The Method of R-Functions in the Solution of Elastic Problems on the Basis of Reissner's Mixed Variational Principle

Abstract

The authors discuss a method of solution of boundary value problems of elasticity theory in terms of variational-structural method of R-functions and mixed variational Reissner principle. A mathematical statement is given for the strain problems for bodies with mixed boundary conditions and bodies which possibly interact with rigid smooth punches. The solution structures are proposed which satisfy all boundary conditions.

Keywords

elasticity theory, Numerical and other methods in solid mechanics, variational Reissner principle, Analytic approximation of solutions (perturbation methods, asymptotic methods, series, etc.) of equilibrium problems in solid mechanics, Geometrical methods for optimization problems in solid mechanics

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
2
Average
Average
Average
Green